MONITORAMENTO DOS PROCESSOS EROSIVOS POR VOÇOROCAMENTO NO MUNICÍPIO DE SÃO JOSÉ DE RIBAMAR, ILHA DO MARANHÃO (MA)

O artigo tem a finalidade de apresentar os procedimentos e resultados de monitoramento do processo evolutivo de três áreas degradadas por erosão no município de São José de Ribamar - MA, para esse fim adotou-se os levantamentos cartográficos e bibliográficos; atividades de campo com identificação dos processos erosivos através do monitoramento denominado estaqueamento nas voçorocas do Araçagy I, II e III. Os resultados já alcançados demonstram elevado avanço das cabeceiras das três voçorocas

Coastal zone management in the fisheries sector program

International audienceThis paper presents an analysis of censored survival data for breast cancer specific mortality and disease-free survival. There are three stages to the process, namely time-to-event modelling, risk stratification by predicted outcome and model interpretation using rule extraction. Model selection was carried out using the benchmark linear model, Cox regression but risk staging was derived with Cox regression and with Partial Logistic Regression Artificial Neural Networks regularised with Automatic Relevance Determination (PLANN-ARD). This analysis compares the two approaches showing the benefit of using the neural network framework especially for patients at high risk. The neural network model also has results in a smooth model of the hazard without the need for limiting assumptions of proportionality. The model predictions were verified using out-of-sample testing with the mortality model also compared with two other prognostic models called TNG and the NPI rule model. Further verification was carried out by comparing marginal estimates of the predicted and actual cumulative hazards. It was also observed that doctors seem to treat mortality and disease-free models as equivalent, so a further analysis was performed to observe if this was the case. The analysis was extended with automatic rule generation using Orthogonal Search Rule Extraction (OSRE). This methodology translates analytical risk scores into the language of the clinical domain, enabling direct validation of the operation of the Cox or neural network model. This paper extends the existing OSRE methodology to data sets that include continuous-valued variables

Temperatura e substrato para o teste de germinação de sementes de barbatimão ((Stryphnodendron adstringens (Mart.) Coville (Leguminosae))

As normas oficiais para análise de sementes não estabelecem critérios para a execução de testes de germinação da maioria das espécies florestais. Assim, o objetivo deste trabalho foi a determinação do substrato, da temperatura e da necessidade de superação da dormência das sementes para o teste de germinação de Stryphnodendron adstringens. Foram avaliados o tratamento de escarificação com ácido sulfúrico por 60 min, os substratos vermiculita, rolo de papel, areia e solo e as temperaturas constantes de 20, 25, 30 e 35 ºC e alternadas de 15-35 ºC e 20-30 ºC, utilizando-se a primeira contagem de germinação (7 dias) e a porcentagem de plântulas normais, anormais, sementes mortas e dormentes (42º dia após a semeadura) com quatro repetições de 50 sementes. As sementes de S. adstringens devem ser submetidas ao teste de germinação, após superação da dormência, em substrato papel e nas temperaturas constantes de 25, 30 ou 35 ºC ou alternadas de 20-30 ºC.The official rules for seed testing don't establish criterions for accomplishment of germination test for greater number of forest species. Thus, the aim of this work was to define substrate, temperature and method for removing hard seededness for germination test of Stryphnodendron adstringens. They were studied: acid scarification with sulphuric acid for 60 minutes, substrates: vermiculita, rolled towel paper, sand and soil, and temperatures: constant, 20, 25, 30 and 35 ºC, and alternating, 15-35 ºC and 20-30 ºC. They were evalueted by first counting of the test (percentage of normal seedlings at 7 days after sowing), and the percentages of normal and abnormal seedlings, dormant and dead seeds (42 days after sowing), with four replications of 50 seeds. Seeds with hardness removed must be used to evaluate the germination of S. adstringens, in paper substrate and with constant temperature of 25, 30 or 35 ºC or alternating of 20-30 ºC